Evidence map›Paper›PMID 42569627›Full record

ArticleBJA open2026

Development and internal validation of models to predict postoperative troponin and myocardial injury after noncardiac surgery by incorporating hypotension as a predictor: single-centre retrospective cohort study.

Ryan Best, Sihaoyu Sherry Gao, Su-Yin MacDonell, P J Devereaux, Paula Branco, Matthias Görges, Alana M Flexman, Lang Wu, Ron Ree, Charles Lo and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in BJA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05188001 (Development and Internal Validation of Models Involving Vital Signs to Predict Troponin Level and Myocardial Injury After Non-cardiac Surgery), which is not on this map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05188001 unknown statusnot on this map

Development and Internal Validation of Models Involving Vital Signs to Predict Troponin Level and Myocardial Injury After Non-cardiac Surgery: a Single-centre Retrospective Cohort Study

TypeobservationalSponsorUniversity of British ColumbiaRan2022 to 2022Enrolled750ConditionsMyocardial Injury, Non-cardiac Surgery, Complication,Postoperative, High-sensitivity TroponinArmsNot an Interventional Study
3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

11 authors.

Ryan BestDepartment of Anesthesiology and Perioperative Medicine, Royal Columbian Hospital, New Westminster, BC, Canada.
Sihaoyu Sherry GaoDepartment of Statistics, Faculty of Science, University of British Columbia, Vancouver, BC, Canada.
Su-Yin MacDonellDepartment of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
P J DevereauxPopulation Health Research Institute, Hamilton Health Sciences and McMaster University, Hamilton, ON, Canada.
Paula BrancoSchool of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada.
Matthias GörgesDepartment of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Alana M FlexmanDepartment of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Lang WuDepartment of Statistics, Faculty of Science, University of British Columbia, Vancouver, BC, Canada.
Ron ReeDepartment of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Charles LoDepartment of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Janny Xue Chen KeDepartment of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Myocardial injury after noncardiac surgery (MINS) is associated with poor outcomes. Current prediction models have limitations and rarely incorporate postoperative hypotension. Our primary objective was to develop and validate a prediction model incorporating postoperative hypotension to predict subsequent postoperative high-sensitivity cardiac troponin T concentrations and MINS. Methods: We conducted a single-centre retrospective cohort study of patients aged ≥45 yr who underwent inpatient noncardiac surgery between 2020 and 2021 at St. Paul's Hospital, Canada. We excluded patients with missing vital signs or postoperative troponin concentrations, those who underwent repeat surgery <72 h after surgery, and those who were readmitted <72h after surgery. We developed multivariable linear mixed-effects models using percentage of time with postoperative hypotension (mean arterial pressure <75 mm Hg) on postoperative days (PODs) 0-2, age, sex, emergency surgery, and revised cardiac risk index to predict maximum troponin concentration on PODs 1-3 (primary model) and MINS (secondary model). Internal validation was performed using repeated patient-based five-fold cross-validation with 100 repetitions, using the root mean square error (RMSE), marginal R-squared (R Results: We included 846 patients (mean age 72 yr [standard deviation 11]; 57.4% male). Notably, 35% of patients (299 of 846) developed MINS between PODs 0 and 3. The primary linear mixed-effects model for log-transformed troponin showed a conditional R Conclusions: A model including postoperative hypotension to predict postoperative troponin concentrations fits our data well, but did not show sufficient accuracy and is not ready for clinical practice. Better-quality data and additional clinical variables may enhance model development.Trial registration. Clinicaltrials.gov NCT05188001, registered 7 January 2022.

Indexed as

intraoperative hypotensionmyocardial injury after noncardiac surgeryperioperativepostoperative hypotensionrisk predictiontroponin

Identifiers

PMID42569627
PMCPMC13450498

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.